Senior Data Engineer (Remote)

Hyatt Hotels Corporation; Chicago (IL); Remote; USD 120,000 - 180,000; Full time

Job summary

Hyatt Hotels Corporation seeks an experienced Senior Data Engineer to join our growing engineering team in Chicago. You will design, build, and maintain scalable data pipelines and models that enable operational reporting, BI, self-service analytics, and AI capabilities.

You will collaborate with product managers, data scientists, and engineers to deliver reliable data solutions while ensuring data integrity and security.

Qualifications

• 5+ years of data engineering or related analytics experience.
• Strong knowledge of data warehousing concepts and ETL design.
• Hands-on experience with AWS cloud services (Glue, Lambda, Kinesis, S3, Redshift).
• Experience with BI tools (Tableau, Power BI) and data visualization.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data products.
• Collaborate with product managers, data scientists, and engineers to translate business needs into technical solutions.
• Ensure data quality, reliability, and security across platforms and projects.
• Mentor junior engineers and contribute to engineering standards and best practices.

Skills

Data engineering

ETL design

SQL / Data warehousing

Cloud AWS

Big data processing

Tools

AWS

Glue

Lambda

Kinesis

Redshift

Tableau

Power BI

ThoughtSpot

Informatica IICS

Alteryx

Spark EMR

Job description

"I believe successful people are the ones who take the initiative to learn, unlearn and relearn. It’s important to constantly challenge your knowledge and step out of your comfort zone."

"I believe successful people are the ones who take the initiative to learn, unlearn and relearn. It’s important to constantly challenge your knowledge and step out of your comfort zone."

Peggy Focheux Duval: Director of Learning & Development, France

Hyatt Hotels Corporation seeks an experienced Senior Data Engineer who will be an exceptional addition to our growing engineering team. The Senior Data Engineer will work closely with engineering, product managers and data science teams to meet data requirements of various initiatives in Hyatt.

As a Senior Data Engineer, you will take on big data challenges in an agile way. In this role, you will build data pipelines that enable engineers, analysts and other stakeholders across the organization. You will build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You will integrate different data sources, improve the efficiency, reliability, and latency of our data system, help automate data pipelines, and improve our data model and overall architecture. You will be leading multiple data projects with planned and coordinated execution and on‑time delivery of quality products.

You will be part of a highly visible, collaborative and passionate data engineering team and will be working on all the aspects of design, development and implementation of scalable and reliable data products and pipelines.

Applying the latest techniques and approaches across the domains of data engineering, and machine learning engineering isn’t just a nice to have, it’s a must.

This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests.

At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest‑growing hospitality brands in the world. Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues.

As we continue to grow, we never lose sight of what’s most important: People. We turn trips into journeys, encounters into experiences, and jobs into careers.

Why Now?

This is an exciting time to be at Hyatt. We are growing rapidly and are looking for passionate changemakers to be a part of our journey. The hospitality industry is resilient and continues to offer dynamic opportunities for upward mobility, and Hyatt is no exception.

How We Care for Our People

What sets us apart is our purpose—to care for people so they can be their best. Every business decision is made through the lens of our purpose, and it informs how we have and will continue to support each other as members of the Hyatt family. Our care for our colleagues is the key to our success. We’re proud to have earned a place on Fortune’s prestigious 100 Best Companies to Work For® list since 2013. This recognition is a testament to the tremendous way our Hyatt family continues to come together to care for one another, our commitment to a culture of inclusivity, empathy, and respect, and making sure everyone feels like they belong.

We’re proud to offer exceptional corporate benefits which include:

Annual allotment of free hotel stays at Hyatt hotels globally

Work‑life benefits including wellbeing initiatives such as a complimentary Headspace subscription, and a discount at the on‑site fitness center

A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption

Paid Time Off, Medical, Dental, Vision, 401K with company match

Who You Are

As our ideal candidate, you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect, and Wellbeing. You enjoy working with others, are results‑driven, and are looking for a variety of opportunities to develop personally and professionally.

The Role

Overview

The Senior Data Engineer designs, develops, and supports scalable data products, platforms, and pipelines that enable operational reporting, business intelligence, self‑service analytics, and advanced AI capabilities. This role partners with cross‑functional teams to translate business needs into reliable, high‑quality technical solutions while providing operational leadership and solving complex data‑engineering challenges.

Key Responsibilities

• Partner with product managers, data scientists, machine‑learning teams, business stewards, engineering teams, and program management to define product features, business deliverables, and data‑product strategies.
• Collaborate with business partners, operations teams, and senior management to provide day‑to‑day operational support and resolve data‑related issues.
• Support operational reporting, self‑service data‑engineering initiatives, production data pipelines, business‑intelligence platforms, and the advancement of AI capabilities.
• Engage with diverse stakeholders to gather and understand business requirements, assess feasibility and impact, and deliver high‑quality solutions on schedule.
• Design scalable, secure, and sustainable data solutions, recommending alternative approaches when appropriate.
• Work with high‑volume datasets, optimize database queries, and resolve complex technical problems across data platforms and pipelines.
• Acquire, ingest, transform, and integrate large and complex datasets using modern data‑engineering technologies.
• Contribute to multiple projects, priorities, and business demands simultaneously while maintaining quality and delivery commitments.
• Operate effectively in a fast‑paced, collaborative, and iterative environment.
• Exercise independent judgment in selecting methods, technologies, and approaches to achieve business and technical objectives.
• Participate actively in an Agile/Scrum environment, including planning, estimation, refinement, delivery, and continuous improvement.
• Promote data quality, reliability, scalability, observability, security, and operational excellence across data products and platforms.
• Mentor engineers, share technical knowledge, and contribute to engineering standards, best practice, and architectural decisions.

Core Competencies

The ideal candidate demonstrates strong technical expertise, sound judgment, ownership, curiosity, collaboration, and a commitment to delivering practical business outcomes. The candidate also reflects Hyatt’s core values of respect, integrity, humility, empathy, creativity, and fun in every aspect of their work.

Qualifications

Experience Required

5 to 8+ years of experience within the field of data engineering or related technical work including business intelligence, analytics

Experience and comfort solving problems in an ambiguous environment where there is constant change. Have the tenacity to thrive in a dynamic and fast‑paced environment, inspire change, and collaborate with a variety of individuals and organizational partners

Experience designing and building scalable and robust data pipelines to enable data‑driven decisions for the business

Very good understanding of the full software development life cycle

Very good understanding of Data warehousing concepts and approaches

Experience in building Data pipelines and ETL approaches

Experience in building Data warehouse and Business intelligence projects

Hands‑on experience in AWS cloud and AWS native technologies such as Glue, Lambda, Kinesis, Lake Formation, S3, Redshift

Experience using Spark EMR, RDS, EC2, Athena, API capabilities, CloudWatch, CloudTrail is a plus

Experience with Business Intelligence tools like Tableau, Power BI, and ThoughtSpot.

Hands‑on experience building complex business logics and ETL workflows using Informatica IICS Alteryx.